Biochemical and statistical network models for systems biology |
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Authors: | Price Nathan D Shmulevich Ilya |
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Institution: | Institute for Systems Biology, 1441 N 34th Street, Seattle, WA 98103, USA. |
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Abstract: | The normal and abnormal behavior of a living cell is governed by complex networks of interacting biomolecules. Models of these networks allow us to make predictions about cellular behavior under a variety of environmental cues. In this review, we focus on two broad classes of such models: biochemical network models and statistical inference models. In particular, we discuss a number of modeling approaches in the context of the assumptions that they entail, the types of data required for their inference, and the range of their applicability. |
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